This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see RLHub.
An ExperimentHub package for accessing processed RLSuite data setsBioconductor version: 3.16
| RLHub provides a convenient interface to the processed data provided within RLSuite, a tool-chain for analyzing R-loop-mapping data sets. The primary purpose of RLHub is to serve the processed data sets required by the RLSeq R package and the RLBase web service. Additionally, RLHub provides a stand-alone R interface to these data, benefiting users who are addressing questions related to R-loop regions (RL-Regions), R-loop-binding proteins (RLBPs), R-loop co-localizing factors, and the differences between R-loop-mapping methods. The full data-generating protocol is found here: https://github.com/Bishop-Laboratory/RLBase-data.
Author: Henry Miller [aut, cre, cph] , Alexander Bishop [ths, cph]
Maintainer: Henry Miller <millerh1 at uthscsa.edu>
Citation (from within R, entercitation("RLHub")
): Installation
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("RLHub")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RLHub")
Details biocViews ChIPSeqData, DNASeqData, ENCODE, ExperimentData, ExperimentHub, ExpressionData, GEO, Genome, PackageTypeData, RNASeqData, ReproducibleResearch, SequencingData Version 1.4.0 License MIT + file LICENSE Depends Imports AnnotationHub, ExperimentHub, utils System Requirements URL https://github.com/Bishop-Laboratory/RLHub https://bishop-laboratory.github.io/RLHub/ Bug Reports https://github.com/Bishop-Laboratory/RLHub/issues See More Suggests knitr, DT, rmarkdown, testthat, BiocStyle Linking To Enhances Depends On Me Imports Me RLSeq Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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